MLOps: Going live with Machine Learning
10:30 - 11:30
MLOps: Going live with Machine Learning As companies incorporate machine learning into their business strategy, they are faced with unique challenges in development and deployment. MLOps is a field that addresses these challenges by combining expertise in machine learning, programming, and DevOps. In this talk we will introduce the concepts of MLOps and how it can help to plan, build, and maintain machine learning projects. We will also discuss how MLOps differs from traditional machine learning, with an emphasis on integration with other systems, cost-efficiency, and adaptability to changing data and business requirements. Attendees will gain an understanding of the methodology, best practices, and tools for implementing machine learning in production environments.
Boštjan Kaluža, PhD is the Chief Data Scientist at Evolven. He's done a lot of research into artificial intelligence and intelligent systems, machine learning, predictive analytics and anomaly detection. Prior to Evolven, Boštjan served as a senior researcher in the Department of Intelligent Systems at the Jozef Stefan Institute, the leading Slovenian scientific research institution and led research projects involving pattern and anomaly detection, machine learning and predictive analytics. Focusing on the detection of suspicious behavior and data analysis, Boštjan has published numerous articles in professional journals and delivered conference papers. Boštjan published two books on data science, Instant Weka How-to, exploring how to leverage machine learning using Weka, and Machine Learning in Java, for learning how to use Java's machine learning libraries to gain insight from data. Boštjan is also the author and contributor to a number of patents in the areas of anomaly detection and pattern recognition.